aiagentrank.io
Subscribe
DeepLearning.AIHands-on reviewed

Building and Evaluating Advanced RAG Applications

Reviewed by AI Agent Rank editors · Last verified 2026-05-23

Our take

The right course for the moment a 'just stuff it into the context window' RAG starts failing. Covers retrieval evaluation, sentence-window retrieval, auto-merging, and the production-failure modes that toy RAG demos don't surface. Free, taught by the LlamaIndex founder + the team behind TruLens evaluation. The pre-req: you should already have built a basic RAG and watched it answer questions wrong. If you haven't, start with a simpler intro.

Pros

  • +Production-grade content — failure modes, not just happy paths
  • +Free, 90 minutes, by LlamaIndex + TruEra principals
  • +Evaluation is the under-covered topic in the RAG space

Cons

  • −Assumes you already understand basic retrieval
  • −LlamaIndex-flavored — if you're a LangChain shop, mental translation needed

Best for

  • · Engineers whose basic RAG works in dev but fails in prod
  • · AI engineers debugging hallucinations on retrieved context

Not ideal for

  • · People building their first RAG — start simpler
  • · Anyone allergic to LlamaIndex idioms
Ready to enroll?

Free on DeepLearning.AI · ~1.5 hours (5 lessons)

Open DeepLearning.AI course →

After this course

These are the agents and tools where the skills from this course actually pay back.

Perplexity Labs

Multi-step research agent that produces sourced reports from a single question.

Gemini Deep Research

Long-running researcher inside Gemini that plans, browses and writes briefs.

Alternatives we considered

Other courses on the same topic. The right pick depends on your level and constraints — see each card for the trade-offs.

Building and Evaluating Advanced RAG Applications — review (2026) | AI Agent Rank · AI Agent Rank